MOC20767 - Implementing a SQL Data Warehouse
Cena kurzu:
... bez DPH: 40.570 Kč/Kurz
... včetně DPH: 49.090 Kč/Kurz
This 5-day instructor led course describes how to implement a data warehouse platform to support a BI solution. Students will lea how to create a data warehouse with Microsoft® SQL Server® 2016 and with Azure SQL Data Warehouse, to implement ETL with SQL Server Integration Services, and to validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services. Audience The primary audience for this course are database professionals who need to fulfil a Busi
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MOC20767 - Implementing a SQL Data Warehouse
Téma kurzu: Databáze, Tvorba webu, PHP, ASP, mySQL, Apache, ,
Určeno pro ...Audience The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role. They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing. Přednáší ...Lektoři z firmy: DataScript s.r.o. Program kurzu, obsah studia ...Goals After completing this course, students will be able to: - Describe the key elements of a data warehousing solution
- Describe the main hardware considerations for building a data warehouse
- Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
- Create columnstore indexes
- Implementing an Azure SQL Data Warehouse
- Describe the key features of SSIS
- Implement a data flow by using SSIS
- Implement control flow by using tasks and precedence constraints
- Create dynamic packages that include variables and parameters
- Debug SSIS packages
- Describe the considerations for implement an ETL solution
- Implement Data Quality Services
- Implement a Master Data Services model
- Describe how you can use custom components to extend SSIS
- Deploy SSIS projects
- Describe BI and common BI scenarios
* After completing this course, students will be able to: - Describe the key elements of a data warehousing solution
- Describe the main hardware considerations for building a data warehouse
- Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
- Create columnstore indexes
- Implementing an Azure SQL Data Warehouse
- Describe the key features of SSIS
- Implement a data flow by using SSIS
- Implement control flow by using tasks and precedence constraints
- Create dynamic packages that include variables and parameters
- Debug SSIS packages
- Describe the considerations for implement an ETL solution
- Implement Data Quality Services
- Implement a Master Data Services model
- Describe how you can use custom components to extend SSIS
- Deploy SSIS projects
- Describe BI and common BI scenarios
Outline Module 1: Introduction to Data Warehousing Describe data warehouse concepts and architecture considerations. Lessons - Overview of Data Warehousing
- Considerations for a Data Warehouse Solution
Lab : Exploring a Data Warehouse Solution After completing this module, you will be able to: - Describe the key elements of a data warehousing solution
- Describe the key considerations for a data warehousing solution
Module 2: Planning Data Warehouse Infrastructure This module describes the main hardware considerations for building a data warehouse. Lessons - Considerations for Building a Data Warehouse
- Data Warehouse Reference Architectures and Appliances
Lab : Planning Data Warehouse Infrastructure After completing this module, you will be able to: - Describe the main hardware considerations for building a data warehouse
- Explain how to use reference architectures and data warehouse appliances to create a data warehouse
Module 3: Designing and Implementing a Data Warehouse This module describes how you go about designing and implementing a schema for a data warehouse. Lessons - Logical Design for a Data Warehouse
- Physical Design for a Data Warehouse
Lab : Implementing a Data Warehouse Schema After completing this module, you will be able to: - Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
Module 4: Columnstore Indexes This module introduces Columnstore Indexes. Lessons - Introduction to Columnstore Indexes
- Creating Columnstore Indexes
- Working with Columnstore Indexes
Lab : Using Columnstore Indexes After completing this module, you will be able to: - Create Columnstore indexes
- Work with Columnstore Indexes
Module 5: Implementing an Azure SQL Data Warehouse This module describes Azure SQL Data Warehouses and how to implement them. Lessons - Advantages of Azure SQL Data Warehouse
- Implementing an Az
Další popis (úroveň, podmínky účasti, minimální znalosti) ...Prerequisites In addition to their professional experience, students who attend this training should already have the following technical knowledge: At least 2 years’ experience of working with relational databases, including: - Designing a normalized database.
- Creating tables and relationships.
- Querying with Transact-SQL.
- Some exposure to basic programming constructs (such as looping and branching).
- An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
Cíl školení / poznámka ke kurzuGoals After completing this course, students will be able to: - Describe the key elements of a data warehousing solution
- Describe the main hardware considerations for building a data warehouse
- Implement a logical design for a data warehouse
- Implement a physical design for a data warehouse
- Create columnstore indexes
- Implementing an Azure SQL Data Warehouse
- Describe the key features of SSIS
- Implement a data flow by using SSIS
- Implement control flow by using tasks and precedence constraints
- Create dynamic packages that include variables and parameters
- Debug SSIS packages
- Describe the considerations for implement an ETL solution
- Implement Data Quality Services
- Implement a Master Data Services model
- Describe how you can use custom components to extend SSIS
- Deploy SSIS projects
- Describe BI and common BI scenarios
Informace o rekvalifikaci Tento kurz není rekvalifikačníMOC20767 - Implementing a SQL Data Warehouse Seznam kurzů & jednotlivých termínů
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Akreditace - Certifikát - Zkouška
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DataScript je autorizovaným poskytovatelem IT kurzů a certifikací. V našich školících prostorách poskytujeme řadu vysoce odborných a respektovaných IT kurzů, specializovaných technologických školení i certifikací IT specialistů, systémových administrátorů a techniků. V nabídce naší činnosti nechybí ani speciální tréninky určené ke zvýšení profesionálních dovedností a schopností odborných pracovníků. DataScript klade důraz nejen na dokonalou teoretickou přípravu a odborné znalosti, ale rovněž na jejich praktické využití a řešení konkrétních situací. DataScript je součástí koncernu Servodata. Společnost Servodata je významným Value Added Distributorem komponent a infrastruktury podnikových ICT řešení. Dlouhodobě se specializuje na distribuci serverových technologií, řešení data storage v širším kontextu řízení životního cyklu dat, bezpečnostních technologií, softwarové infrastruktury včetně licenční správy a komponent pro ukládání dat. Svoji činnost společnost zahájila již v roce 1991 a v současnosti se řadí mezi 30 největších ICT společností na tuzemském trhu. ...dále viz: DataScript s.r.o. Dotaz ke kurzu
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